Skip to main content
Log in

Engagement Control of Automotive Clutch by Mechatronic System Using Pre-determined Force Trajectories

  • Original Contribution
  • Published:
Journal of The Institution of Engineers (India): Series C Aims and scope Submit manuscript

Abstract

In automated manual clutch (AMC), the mechatronic system is required to generate appropriate clutch force trajectory to achieve good engagement quality. For this purpose, four generic force trajectories were analyzed and engagement quality was assessed, using four parameters—peak engine speed, clutch lockup time, vehicle lurch, and shuffle. Magnitudes of these parameters were obtained from results of simulation on a complete dynamic model of vehicle driveline. It was observed that parabolic trajectory gives satisfactory overall performance in terms of engagement quality, but results into higher lurch. However, it can be modified further to reduce lurch. A set of such trajectories may be obtained for different driving conditions, for use in mechatronic system, for control of AMC. This approach is an alternative to costlier and more difficult method of real-time control of force trajectory during clutch engagement. Schematic implementation of proposed mechatronic system, with driver interface, is also outlined in this work.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

Abbreviations

m v :

Vehicle mass

m w :

Wheel mass

t :

Time elapsed since commencement of engagement operation

t r :

Clutch release time (duration of clutch release)

x :

Linear displacement of vehicle

B cg :

Torsional damping coefficient of clutch output shaft bearing

B ec :

Torsional damping coefficient of crankshaft bearing

B gw :

Torsional damping coefficient of transmission shaft bearing

F a (t):

Instantaneous axial force on clutch plate

F max a :

Maximum normal force of clutch plate (nominal clutch force)

F d :

Drag force on vehicle

F 0 :

Starting force of wheel

G :

Overall gear ratio of gearbox and differential

J c1 :

Moment of inertia of clutch friction disc

J c2 :

Moment of inertia of clutch pressure plate

J e :

Moment of inertia of flywheel and crankshaft

J g1 :

Moment of inertia of input gear

J g2 :

Moment of inertia of output gear

J wc :

Moment of inertia of wheel about its axis

J wo :

Moment of inertia of wheel about its axis

K cg :

Torsional stiffness of clutch output shaft

K ec :

Torsional stiffness of crankshaft

K gw :

Torsional stiffness of transmission shaft

R w :

Wheel radius

R 1 :

Pitch radius of input gear

R 2 :

Pitch radius of output gear

T c :

Friction torque transmitted by clutch

T 1 :

Torque on input gear

T 2 :

Torque on output gear

T ec :

Torque transmitted by clutch input shaft

T gw :

Torque transmitted by transmission shaft

θ e :

Angular rotation of flywheel

θ c1 :

Angular rotation of clutch friction disc

θ c2 :

Angular rotation of clutch pressure plate assembly

θ g1 :

Angular rotation of input gear of gearbox

θ g2 :

Angular rotation of output gear of gearbox

θ w :

Angular rotation of wheel

μ c :

Coefficient of friction of clutch friction surface

μ w :

Coefficient of friction between wheel and ground

References

  1. L. Chen, J. Zhang, W. Huang, C. Gao, Feedback linearization control for electronically controllable clutch of vehicle. SAE Paper 2000-01-1638, 2000

  2. J. Levine, B. Remond, Flatness based control of an automatic clutch, in Proc. MTNS-2000, Perpignan, 2000

  3. Y. Lei, X. Yin, J. Tan, A. Ge, Simulating human intelligent control for the clutch of automated mechanical transmission in the start process, FISITA 2004-world automotive congress, Barcelona, Spain, 23–27 May 2004

  4. K. Tripathi, M.D. Agrawal, A mechatronic based approach for automation of manual clutch. Eng. Environ. Sci. J. 3(2), (2007)

  5. D. Southhall, The discrimination of clutch pedal resistances. Ergonomics 28(9), 1311–1317 (1985)

    Article  Google Scholar 

  6. L. Glielmo, L. Iannelli, V. Vacca, F. Vasca, Speed control for automated manual transmission clutch, in 43rd IEEE Conf. on Decision and Control, pp. 1709–1714, Atlantis, Paradise Island, Bahamas, Dec 14–17, 2004

  7. T. Naruse, The tribology of a minimum slip lock-up clutch control system. Tribol. Int. 27(1), 25–30 (1994)

    Article  Google Scholar 

  8. Ph Couderc, J. Callenare, J.D. Hagopian, G. Ferraris, Vehicle driveline dynamic behaviour: experimentation and simulation. J. Sound Vib. 218(1), 133–157 (1998)

    Article  Google Scholar 

  9. A. Crowther, N. Zhang, D.K. Liu, J.K. Jeyakumaran, Analysis and simulation of clutch engagement judder and stick–slip in automotive powertrain systems. Proc. Inst. Mech. Eng. Part D J. Automob. Eng. D12, 1427–1446 (2004)

    Article  Google Scholar 

  10. A. Serrarens, M. Dassen, M. Stcinbuch, Simulation and control of an automotive dry clutch, in Proceeding of the American Control Conference, pp. 4078–4083, Boston. Massachusetts, 2004

  11. G. Lucente, M. Montanari, C. Rossi, Modelling of an automated manual transmission system. Mechatronics 17, 73–91 (2007)

    Article  Google Scholar 

  12. A. Szadkowski, R.B. Morford, Clutch engagement simulation: engagement without throttle. SAE Technical Paper 920766, 1992

  13. H. Kaneko, K. Tobita, S. Sekiguchi, A. Muroi, Y. Hirano, Judder analysis of electronically controlled limited slip differential. JSAE Rev. 17(1), 31–36 (1996)

    Article  Google Scholar 

  14. D. Lefebvre, P. Chevrel, S. Richard, Control analysis tools for active attenuation of vehicle longitudinal oscillations, in Proceedings of IEEE International Conference on Control Applications, Mexico City, Mexico, Sept 5–7, 2001

  15. M. Manouri, M. Khonsari, M.H. Holgerson, W. Aung, Application of analysis of variance to wet clutch engagement. Proc. Inst. Mech. Eng. Part J J. Eng. Tribol. 216(3), 117–125 (2002)

    Article  Google Scholar 

  16. J. David, N. Natrajan, Design of an optimal clutch controller for commercial trucks, in Proceedings of American Control Conference, pp. 1599–1606, Portland, OR, USA, 2005

  17. S.W. Shen, A.L. Ge, B.J. Luo, T.Y. Zhang, J.X. Fan, The fuzzy control for a clutch of an electronically controlled automatic mechanical transmission (AMT), in International Pacific Conference on Automotive EngineeringIPC-8, 1995

  18. H. Langjord, T.A. Johansen, S.R. Snare, C. Bratli, Estimation of electro pneumatic clutch actuator load characteristics, in Proceedings of 17th World Congress IFAC, Seoul, Korea, July 6–11, 2008

  19. K. Tripathi, M.D. Agrawal, Dynamic modeling of engagement of automotive clutch with diaphragm spring. J. Inst. Eng. (India) 88, 10–17 (2008)

    Google Scholar 

  20. K. Tripathi, M.D. Agrawal, Control architecture of mechatronic system for automated manual clutch. J. Inst. Eng. (India) 90, 9–16 (2009)

    Google Scholar 

  21. K. Tripathi, Some design-objectives and design-guidelines for automotive friction clutch based on clutch engagement dynamics. J. Inst. Eng. (India) Ser. C (2014). doi:10.1007/s40032-014-0097-1

    Google Scholar 

  22. K. Tripathi, A novel approach for enhancement of automobile clutch engagement quality using mechatronics based automated clutch system. J. Inst. Eng. (India) Ser. C 94(1), 9–20 (2013)

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to K. Tripathi.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tripathi, K. Engagement Control of Automotive Clutch by Mechatronic System Using Pre-determined Force Trajectories. J. Inst. Eng. India Ser. C 95, 109–117 (2014). https://doi.org/10.1007/s40032-014-0113-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40032-014-0113-5

Keywords

Navigation